{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:EET3YENIPFPQJS3AH3BOY5Z6T3","short_pith_number":"pith:EET3YENI","canonical_record":{"source":{"id":"1806.01203","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-04T16:45:19Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"514a0e523080b16a80808b1a7b32b8c6eb2c3879b28fc1d82e7eabfd09c0b536","abstract_canon_sha256":"a0052ef51ff41cbf101cd73f0d7d33dceb602cae416f52500209dae95d9e5bbd"},"schema_version":"1.0"},"canonical_sha256":"2127bc11a8795f04cb603ec2ec773e9efef21bd6c23bbf12c443c9146fea1f27","source":{"kind":"arxiv","id":"1806.01203","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.01203","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"arxiv_version","alias_value":"1806.01203v1","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01203","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"pith_short_12","alias_value":"EET3YENIPFPQ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EET3YENIPFPQJS3A","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EET3YENI","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:EET3YENIPFPQJS3AH3BOY5Z6T3","target":"record","payload":{"canonical_record":{"source":{"id":"1806.01203","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-04T16:45:19Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"514a0e523080b16a80808b1a7b32b8c6eb2c3879b28fc1d82e7eabfd09c0b536","abstract_canon_sha256":"a0052ef51ff41cbf101cd73f0d7d33dceb602cae416f52500209dae95d9e5bbd"},"schema_version":"1.0"},"canonical_sha256":"2127bc11a8795f04cb603ec2ec773e9efef21bd6c23bbf12c443c9146fea1f27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:17.126292Z","signature_b64":"mMjMyUl0rj/X4V7Y32zFFIFy/SDP8oTs3bgP67510m5OAbnXCocQhWaVu8KWocoxxQhU3QcjVJBYGvOOlgY+Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2127bc11a8795f04cb603ec2ec773e9efef21bd6c23bbf12c443c9146fea1f27","last_reissued_at":"2026-05-18T00:14:17.125716Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:17.125716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.01203","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sBct9jxmHNHNWxneV8/zUyB8hWJoO99+PUX8AcfKHeXexzXEWriaVS1T4CNSe2aifhcWMjh93QoO0c98qGFODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T09:30:56.348030Z"},"content_sha256":"eda0c9a8696c85c35b9cc89982e0a0d2d742afe81ae68e04cfc12e3b4c2d5f48","schema_version":"1.0","event_id":"sha256:eda0c9a8696c85c35b9cc89982e0a0d2d742afe81ae68e04cfc12e3b4c2d5f48"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:EET3YENIPFPQJS3AH3BOY5Z6T3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Relational inductive bias for physical construction in humans and machines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Jessica B. Hamrick, Joshua B. Tenenbaum, Kelsey R. Allen, Kevin R. McKee, Peter W. Battaglia, Tina Zhu, Victor Bapst","submitted_at":"2018-06-04T16:45:19Z","abstract_excerpt":"While current deep learning systems excel at tasks such as object classification, language processing, and gameplay, few can construct or modify a complex system such as a tower of blocks. We hypothesize that what these systems lack is a \"relational inductive bias\": a capacity for reasoning about inter-object relations and making choices over a structured description of a scene. To test this hypothesis, we focus on a task that involves gluing pairs of blocks together to stabilize a tower, and quantify how well humans perform. We then introduce a deep reinforcement learning agent which uses obj"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01203","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k64qYI1Q2m+9FiDvs78e6Aeey1JvZjYfSqIo3zCkhI920K7ze9TxfvJxobf3k8QZcmphBl4i3Lh9SGHNpRuDAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-20T09:30:56.348391Z"},"content_sha256":"b2eafe9382047e659d8736d20851e4a7ffdb48806dde5bf93a9925ebcdd9e514","schema_version":"1.0","event_id":"sha256:b2eafe9382047e659d8736d20851e4a7ffdb48806dde5bf93a9925ebcdd9e514"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EET3YENIPFPQJS3AH3BOY5Z6T3/bundle.json","state_url":"https://pith.science/pith/EET3YENIPFPQJS3AH3BOY5Z6T3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EET3YENIPFPQJS3AH3BOY5Z6T3/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-20T09:30:56Z","links":{"resolver":"https://pith.science/pith/EET3YENIPFPQJS3AH3BOY5Z6T3","bundle":"https://pith.science/pith/EET3YENIPFPQJS3AH3BOY5Z6T3/bundle.json","state":"https://pith.science/pith/EET3YENIPFPQJS3AH3BOY5Z6T3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EET3YENIPFPQJS3AH3BOY5Z6T3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:EET3YENIPFPQJS3AH3BOY5Z6T3","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a0052ef51ff41cbf101cd73f0d7d33dceb602cae416f52500209dae95d9e5bbd","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-04T16:45:19Z","title_canon_sha256":"514a0e523080b16a80808b1a7b32b8c6eb2c3879b28fc1d82e7eabfd09c0b536"},"schema_version":"1.0","source":{"id":"1806.01203","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.01203","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"arxiv_version","alias_value":"1806.01203v1","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01203","created_at":"2026-05-18T00:14:17Z"},{"alias_kind":"pith_short_12","alias_value":"EET3YENIPFPQ","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"EET3YENIPFPQJS3A","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"EET3YENI","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:b2eafe9382047e659d8736d20851e4a7ffdb48806dde5bf93a9925ebcdd9e514","target":"graph","created_at":"2026-05-18T00:14:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"While current deep learning systems excel at tasks such as object classification, language processing, and gameplay, few can construct or modify a complex system such as a tower of blocks. We hypothesize that what these systems lack is a \"relational inductive bias\": a capacity for reasoning about inter-object relations and making choices over a structured description of a scene. To test this hypothesis, we focus on a task that involves gluing pairs of blocks together to stabilize a tower, and quantify how well humans perform. We then introduce a deep reinforcement learning agent which uses obj","authors_text":"Jessica B. Hamrick, Joshua B. Tenenbaum, Kelsey R. Allen, Kevin R. McKee, Peter W. Battaglia, Tina Zhu, Victor Bapst","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-04T16:45:19Z","title":"Relational inductive bias for physical construction in humans and machines"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01203","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:eda0c9a8696c85c35b9cc89982e0a0d2d742afe81ae68e04cfc12e3b4c2d5f48","target":"record","created_at":"2026-05-18T00:14:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a0052ef51ff41cbf101cd73f0d7d33dceb602cae416f52500209dae95d9e5bbd","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-06-04T16:45:19Z","title_canon_sha256":"514a0e523080b16a80808b1a7b32b8c6eb2c3879b28fc1d82e7eabfd09c0b536"},"schema_version":"1.0","source":{"id":"1806.01203","kind":"arxiv","version":1}},"canonical_sha256":"2127bc11a8795f04cb603ec2ec773e9efef21bd6c23bbf12c443c9146fea1f27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2127bc11a8795f04cb603ec2ec773e9efef21bd6c23bbf12c443c9146fea1f27","first_computed_at":"2026-05-18T00:14:17.125716Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:17.125716Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mMjMyUl0rj/X4V7Y32zFFIFy/SDP8oTs3bgP67510m5OAbnXCocQhWaVu8KWocoxxQhU3QcjVJBYGvOOlgY+Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:17.126292Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.01203","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eda0c9a8696c85c35b9cc89982e0a0d2d742afe81ae68e04cfc12e3b4c2d5f48","sha256:b2eafe9382047e659d8736d20851e4a7ffdb48806dde5bf93a9925ebcdd9e514"],"state_sha256":"cb08ce12bd17f0db0258cb6316202cd43696cfae349e68c56d43944b4c77a02f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Esoh8e9gi3wJ3qEzmIwjoHhwM6E/C1bc58VFlqOo2RzKHbvcDdjTgIaNKXOEeELOFTJ4S4e6ntyizGT6NNySBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-20T09:30:56.350588Z","bundle_sha256":"ff9c50b2eaa8d94094bf2567b610631e403dccdb3cfcdf6f1aa9fd228c012348"}}